AI Article Synopsis
- A new tool has been created to visualize changes in disease patterns over time using medical image stacks, allowing users to create 3D surface models.
- The tool facilitates statistical analysis of disease volumes and integrates spatial and temporal data by combining 2D images into 3D models over different time points.
- It has been successfully applied to brain MRI scans of multiple sclerosis patients, is developed in Java for portability, and is freely available for academic use.
Article Abstract
We have developed a tool for the visualization of temporal changes of disease patterns, using stacks of medical images collected in time-series experiments. With this tool, users can generate 3D surface models representing disease patterns and observe changes over time in size, shape, and location of clinically significant image patterns. Statistical measurements of the volume of the observed disease patterns can be performed simultaneously. Spatial data integration occurs through the combination of 2D slices of an image stack into a 3D surface model. Temporal integration occurs through the sequential visualization of the 3D models from different time points. Visual integration enables the tool to show 2D images, 3D models and statistical data simultaneously. As an example, the tool has been used to visualize brain MRI scans of several multiple sclerosis patients. It has been developed in Java™, to ensure portability and platform independence, with a user-friendly interface and can be downloaded free of charge for academic users.
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| http://dx.doi.org/10.2390/biecoll-jib-2011-161 | DOI Listing |
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